Q9PEG4 Glucokinase MolNFT, Molecular NFT on GenesisL1

Glucokinase

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeifhp2dbqck5frkxtw5evinsavry7gyqwe2kcgea3yzh7bfpwpi5uy/metadata.json

IPFS of structure file:

bafybeigvmnvseth6fw553qcj6wjjol77hegpwlj35nehgr6lqcvq7lqkpe/AF-Q9PEG4-F1-model_v2.pdb

First NFT owner address (eip-55):

0x3F8CE2bd7591b8732E7075A645cfEC4429836F99

First NFT owner address (bech32):

genesis187xw90t4jxu8xtnswknytnlvgs5cxmueee53m0

Current NFT ID #149282 owner (web3):

0x017919F1bE1124b92211d6Ce23B1B47B990387b9

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
149282
Accession (UniProt):
Q9PEG4
Name::
Glucokinase
Experimental Method:
Predicted structure
Sequence source:
XYLELLA FASTIDIOSA (STRAIN 9A5C)

NFT data

MolNFT AF v1 is an AlphaFold database of AI predicted Swiss-Prot protein sequences preserved as regular ERC-721 NFT tokens on GenesisL1 blockchain for public free use, research and entertainment:

https://alphafold.ebi.ac.uk/
Jumper, J., Evans, R., Pritzel, A. et al. Highly accurate protein structure prediction with AlphaFold. 
Nature 596, 583–589 (2021). https://doi.org/10.1038/s41586-021-03819-2

MOLNFT Q9PEG4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9PEG4|GLK_XYLFA Glucokinase OS=Xylella fastidiosa (strain 9a5c) OX=160492 GN=glk PE=3 SV=1 MNAPQAPVLVADIGGTNARFALANPTLTSAPLLNDSLREFAVIEFPSLSEAAQHYLHHIGIHTTKGVFAIAGHVDGDEARITNHPWVITRTRTATMLGFDTLHLINDFVAQAMAISVLGPQDVIQIGSAKWEQVPLSAATRNYGIIGPGTGLGVGGLVIRNGRCYPLETEGGHVSFPPSTPEEIRILEILSQQFGRVSNERLISGPGLVNIHRALSEIDGIDPGPLRPQDITMRAADGDIRATRTINLFCNIFGAITGDLVLIQGAWDGVFLTGGLVPKLLNSIQHSGFRQKFEHKGRFSAIMARIPSLAVIHPHPGLLGAAAYARDTEPVPQDIKA

Q9PEG4 AF NFT

MOLNFT AF v1

NFT data

MOLNFT Q9PEG4 research and analysis (ICN3D with VR)

FASTA sequences

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